A075
Numerical Coupling of Atmospheric Processes in Current and Future Models: Challenges and Paths Forward

Session ID#: 158085

Session Description:
The atmosphere is a complex system involving physical, chemical, and biogeochemical processes spanning a wide range of spatial and temporal scales. Accurate representations of the interactions between processes and/or scales are important for high-quality predictions made by numerical models. Ongoing increases in model resolution and complexity present both new opportunities for more accurate results and new challenges in efficient use of computing resources.

This session discusses process coupling in weather and climate models, with an emphasis on addressing computational and numerical concerns. Examples of relevant topics include (1) identification of crucial interactions in numerical simulations, (2) computational methods for coupling different processes and/or scales, (3) problems to be solved in current and emerging models, (4) accounting for numerical and coupling-related errors in uncertainty quantification, (5) idealized models and test cases to facilitate the development of complex models, and (6) model order reduction studies that produce alternative model formulations or novel computational methods to improve solution accuracy and efficiency.

Index Terms:

0545 Modeling [COMPUTATIONAL GEOPHYSICS]
0560 Numerical solutions [COMPUTATIONAL GEOPHYSICS]
1906 Computational models, algorithms [INFORMATICS]
3336 Numerical approximations and analyses [ATMOSPHERIC PROCESSES]

Primary Convener:  Sean Patrick Santos, Columbia University, Center for Climate Systems Research, New York, United States; NASA Goddard Institute for Space Studies, New York, United States
Conveners:  Hui Wan, Pacific Northwest National Laboratory, Richland, WA, United States and Ben J Shipway, United Kingdom Met Office, Exeter, United Kingdom
 
Physics-Dynamics-Chemistry Coupling with components of different resolutions in LFRic (Invited) (1062083)
Thomas Bendall and Alex Brown, Met Office, Dynamics Research, Exeter, United Kingdom
 
Exploring Two Coupling Strategies of the Boundary Layer and Convection Schemes in GFDL AM4 (1066337)
Yi-Hsuan Chen1, Leo Donner2 and Zhihong Tan2, (1)Princeton University, Program of Atmospheric and Oceanic Sciences, Princeton, NJ, United States, (2)NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
 
Exploring Time-step Sensitivities Related to High Clouds and Process Coupling in the E3SM Atmosphere Model (EAM) (1066769)
Hui Wan, Pacific Northwest National Laboratory, Richland, WA, United States, Kai Zhang, Pacific Northwest National Lab, Richland, United States, Sean Patrick Santos, Columbia University, Center for Climate Systems Research, New York, United States; NASA Goddard Institute for Space Studies, New York, United States, Christopher Vogl, Lawrence Livermore National Laboratory, Center for Applied Scientific Computing, Livermore, CA, United States, Carol S Woodward, Lawrence Livermore National Laboratory, Livermore, CA, United States and Philip J Rasch, Pacific Northwest National Lab, Richland, WA, United States
 
Removing Numerical Pathologies in a Turbulence Parameterization through Convergence Testing (1076283)
Shixuan Zhang1, Christopher Vogl2, Vincent E Larson3, Quan Bui4, Hui Wan1, Phil Rasch5 and Carol S Woodward6, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Lawrence Livermore National Laboratory, Center for Applied Scientific Computing, Livermore, CA, United States, (3)University of Wisconsin-Milwaukee, Milwaukee, WI, United States, (4)Blue River Technology, Sunnyvale, California, United States, (5)Pacific Northwest National Laboratory, Richland, United States, (6)Lawrence Livermore National Laboratory, Livermore, CA, United States
 
Reconciling and improving formulations for thermodynamics and conservation principles in Earth System Models (ESMs) (Invited) (1113024)
Nicholas Kevlahan1, Peter Hjort Lauritzen2, Thomas Toniazzo3, Christopher Eldred4, Thomas Dubos5, Almut Gassmann6, Vincent E Larson7, Christiane Jablonowski8, Oksana Guba9,10, Ben J Shipway11, Bryce E Harrop12, Florian Lemarié13, Remi Tailleux3, Adam R Herrington14, William Large15, Philip J Rasch16, Aaron Sheffield Donahue17, Hui Wan18, Andrew J Conley19 and Julio T Bacmeister20, (1)McMaster University, Department of Mathematics and Statistic, Hamilton, Canada, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)University of Reading, Reading, RG6, United Kingdom, (4)Colorado State University, Fort Collins, CO, United States, (5)Laboratoire de Météorologie Dynamique Palaiseau, Palaiseau Cedex, France, (6)Leibniz-Institute of Atmospheric Physics, University of Rostock, Kuehlungsborn, Germany, (7)University of Wisconsin-Milwaukee, Milwaukee, WI, United States, (8)University of Michigan, Ann Arbor, United States, (9)Lethbridge, AB, Canada, (10)Sandia National Laboratories, Albuquerque, United States, (11)United Kingdom Met Office, Exeter, United Kingdom, (12)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, (13)Univ. Grenoble Alpes, Inria, Grenoble, France, (14)National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, CO, United States, (15)NCAR, Boulder, CO, United States, (16)Pacific Northwest National Lab, Richland, WA, United States, (17)University of Notre Dame, Notre Dame, IN, United States, (18)Pacific Northwest National Laboratory, Richland, WA, United States, (19)National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling, Boulder, CO, United States, (20)AMP/CGD, Boulder, CO, United States
 
Rapid Numerical Simulation of Fluid Flow Using Semi-Structured Meshes (1114221)
Amin Nadimy1, Pablo Salinas2, Andre Nicolle3 and Christopher Pain2, (1)Imperial College London, London, SW7, United Kingdom, (2)Imperial College London, London, United Kingdom, (3)BP, London, United Kingdom
 
How to select from multiple coupling approaches using theoretical error analysis, with application to aerosol lifecycle in EAM (1118891)
Christopher Vogl, Lawrence Livermore National Laboratory, Center for Applied Scientific Computing, Livermore, CA, United States, Hui Wan, Pacific Northwest National Laboratory, Richland, WA, United States, Carol S Woodward, Lawrence Livermore National Laboratory, Livermore, CA, United States and Steven B Roberts, Lawrence Livermore National Laboratory, Livermore, United States
 
The Performance of Filtered Leapfrog Schemes in Benchmark Simulations (1144151)
Paul Williams, University of Reading, Reading, RG6, United Kingdom, Jerry M. Straka, University of Oklahoma, School of Meteorology, Norman, United States and Katharine M Kanak, Norman, United States
 
Towards More Accurate Physics-Dynamics Coupling in NOAA’s Unified Forecast System (UFS) (1151662)
Kevin Viner, NOAA/NWS/NCEP/EMC, College Park, United States
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